Agent-Based Modeling of Sustainable Behaviors (Hardcover, 1st ed. 2017)

Using the O.D.D. (Overview, Design concepts, Detail) protocol, this title explores the role of agent-based modeling in predicting the feasibility of various approaches to sustainability. The chapters incorporated in this volume consist of real case studies to illustrate the utility of agent-based modeling and complexity theory in discovering a path to more efficient and sustainable lifestyles. The topics covered within include: households' attitudes toward recycling, designing decision trees for representing sustainable behaviors, negotiation-based parking allocation, auction-based traffic signal control, and others. This selection of papers will be of interest to social scientists who wish to learn more about agent-based modeling as well as experts in the field of agent-based modeling.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Understanding Complex Systems
Release date:	2017
First published:	2017
Editors:	Amparo Alonso-Betanzos • Noelia Sanchez-Marono • Oscar Fontenla-Romero • J. Gary Polhill • Tony Craig • Javier Bajo • Juan Manuel Corchado
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	257
Edition:	1st ed. 2017
ISBN-13:	978-3-319-46330-8
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Mathematics > Optimization > Game theory Books > Earth & environment > The environment > Environmental economics > Sustainability Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-46330-6
Barcode:	9783319463308

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